Downloads · 30 days
15
1% of all-time downloads
chinese_paragraph_bert-ext
frett/chinese_paragraph_bert-ext
chinese_paragraph_bert-ext is a multiple choice model from frett. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.9K
Public
Parameters
102M
3.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors409 MB · 100%
At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024
- SHA
- 5c8b2782
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
chinese_paragraph_bert-ext
This model is a fine-tuned version of hfl/chinese-bert-wwm-ext on the Chinese Relevance Paragraphs dataset. It achieves the following results on the evaluation set:
- Loss: 0.1717
- Accuracy: 0.9618
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- zh
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024